Large moose populations have a range in 19 states of the U.S. The estimated total moose population in the United States is about 275,000 – 315,000 and in Canada, the estimate is between 500,000 and 1 million moose, depending on the source. There are 4 subspecies of moose ( Alces alces) in North America. The expected starting date will be September 2022 or earlier.Moose are the largest living deer species worldwide and the tallest mammal in North America, with adults standing 6 feet tall from the ground to shoulder. Your cover letter should be no longer than 1-2 pages and clearly state your research interests and previous experience, as well as your motivation to do a Ph.D. position in computational mechanics and machine learning" by Monday, February 28, 2022. To apply, please send your documents including a cover letter, CV, and bachelor and master certificates and transcripts by email to Prof. The successful candidate will be affiliated with the Graduate School Computational Engineering. German language skills are a plus, but not required
Familiarity with commercial FE software such as ANSYS, Abaqus or COMSOL.Strong programming skills in MATLAB, Python, or C++ (familiarity with open-source FE codes such as FENiCS, NGSolve, Moose, etc.Dynamic systems, model order reduction, and numerics of ODEs.(Physics-informed) Machine learning (in particular, artificial neural networks).Numerical analysis and finite element methods (higher-order methods or isogeometric analysis are a plus).Nonlinear continuum mechanics or structural mechanics (plasticity or multiphysics are a plus).Strong background in at least 3 of the following subjects:.Masters degree in a relevant subject (mechanical engineering, computational engineering, applied mathematics, etc.) from a reputable university and with excellent grades.Required qualifications for the position are: Model order reduction of dynamic systems with machine learning methods.Design and topology optimization of architected materials.Computational methods for efficient microstructure modeling and simulation.Homogenization and multiscale simulation of metamaterials and composites.
Nonlinear, inelastic, or multiphysics constitutive modeling with machine learning methods.in the areas of computational mechanics and machine learning.įemale candidates are particularly encouraged to apply. The Cyber-Physical Simulation Group at the Department of Mechanical Engineering at TU Darmstadt in Germany is looking for an excellent candidate interested in doing research on a Ph.D.
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